checkpoints_qreg_4D: Multiple-output Bayesian quantile regression model

In brsantos/baquantreg: Bayesian quantile regression methods

Multiple-output Bayesian quantile regression model

Description

This function checks whether points belong to quantile regions or not, based on estimated models for models with 4 dimensions.

Usage

checkpoints_qreg_4D(
  model,
  datafile,
  response,
  points_y,
  x_values = 1,
  path_folder = NULL,
  splines_part = FALSE,
  w_values = NULL,
  model_name = "bayesx.estim",
  name_var,
  adaptive_dir = FALSE,
  upperq = FALSE,
  lowerq = FALSE,
  ...
)

Arguments

model	This is an object of the class multBQR, produced by a call to the multBayesQR function.
datafile	A data.frame from which to find the variables defined in the formula.
response	Names of response variables
points_y	the exact points in Y, in which one wants to find its respective quantile region.
x_values	Fixed value of the predictor variables.
path_folder	The path where all results are stored.
splines_part	Logical value to indicate whether there are splines terms in the equation to draw the quantile contours.
w_values	Value to be considered in the nonlinear part of the model.
model_name	When results will be collected in a folder, this should be the name of the name considered by BayesX to save all tables. Default is 'bayesx.estim'.
name_var	When there is a nonlinear variable from which one wants to consider different values for plotting, this should have the name of the variable.
adaptive_dir	If TRUE, then directions will take into account the marginal quantiles of each dimension of the response variable. Otherwise, the direction vector are created creating all possible combinations of points inside the interval [-1, 1] given the number of points directionPoint. The default is FALSE.
upperq	If TRUE, then it will take into account the upper quantiles for each coefficient of the model.
lowerq	If TRUE, then it will take into account the lower quantiles for each coefficient of the model.
...	Other parameters for summary.multBQR.

Value

A ggplot with the quantile regions based on Bayesian quantile regression model estimates.

brsantos/baquantreg documentation built on Feb. 8, 2023, 8:18 a.m.